2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
Maozhen Zhang, Mengnan Zhao, Wei Wang +1
Prompt-based tuning has emerged as a lightweight alternative to full fine-tuning in large vision-language models, enabling efficient adaptation via learned contextual prompts. This…
cs.CL2024
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
Kai Yao, Penglei Gao, Lichun Li +4
Parameter-Efficient Fine-Tuning (PEFT) methods have gained significant popularity for adapting pre-trained Large Language Models (LLMs) to downstream tasks, primarily due to their…
cond-mat.mtrl-sci2024★ 2 cited
Thermal transport in a 2D amorphous material
Yuxi Wang, Xingxing Zhang, Wujuan Yan +12
Two-dimensional (2D) crystals proved revolutionary soon after graphene was discovered in 2004. However, 2D amorphous materials only became accessible in 2020 and remain largely une…